June 2025 focused on building core research infrastructure for stock trading and reinforcement learning initiatives in the drshahizan/research-design repository. Delivered a Stock Market Data Analysis Notebook with preprocessing, cleaning, exploratory analysis, and train/test split workflows using yfinance, pandas, and matplotlib, enabling rapid experimentation and model prototyping. Consolidated Reinforcement Learning in Automated Trading materials by organizing documentation, assets, and an overview with external links (PDFs, slides, YouTube), improving study, evaluation, and presentation readiness. No major defects were reported; the emphasis was on feature delivery, documentation, and reproducibility to accelerate data workflows and stakeholder communications. Technologies demonstrated include Python data science stack (yfinance, pandas, matplotlib, Jupyter), robust documentation practices, and Git-based collaboration that enhances reproducibility and onboarding.

April 2025: Delivered documentation scaffolding and governance improvements across two repositories, establishing clear project metadata, standardized proposal lifecycle, and enhanced onboarding. Implemented ZeolatJian exercise readme enhancements with practical examples for rendering LaTeX (KaTeX) and UML diagrams (Mermaid), boosting documentation quality and developer productivity. No critical bugs reported; focus was on quality, maintainability, and process automation to reduce future maintenance.

March 2025 monthly summary for drshahizan/research-design: Focused on documentation quality and contributor onboarding. Delivered Team Documentation Improvements (contributor profile corrections, LinkedIn/GitHub links for LEE HONG JIAN, and README formatting refinements) and added ZeolatJian student profile with a dedicated README and background. Achieved hygiene fixes by cleaning up empty placeholders and removing outdated artifacts to prevent confusion. These changes improve collaboration efficiency, enhance contributor visibility, and bolster project credibility. Skills demonstrated include Git workflows, Markdown/README design, contributor management, and repository hygiene.